Fundamentals of DevOps for Actuarial Data Science (D1)

Learn the fundamentals of DevOps to develop system-based solutions and understand the current techniques in designing, developing, testing, iterating, deploying, and maintaining system-based solutions.

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£200 once-off with assignment (3-month access)

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Introduction

An individual subscription gives you 3 months’ online access to:

  • Course materials
  • A personal coding environment through Jupyter Notebooks
  • Discussion forums to engage and collaborate with like-minded individuals
  • Option to ask tutors questions through forums and Q&A sessions
  • Hands-on practical examples linked to actuarial work
  • On demand access


As Well As

Our Data Science Resource Library which features Actuartech and Industry specific curated additional content to assist you on your data science journey.

You can also request to do the online project; and if successful a course completion certificate could be issued.

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Someone working on an online course at their desk.

Pick from any of our introductory or advanced courses with bespoke insurance and actuarial specific case studies.

Our platform is easy to use and embeds the coding environment and learning material in one place to enable you to apply data science hands-on.

We provide case studies and projects relevant to actuarial work, and based on relevant datasets provided. You have the option to interact and network with your peers.

Overview

“Fundamentals of DevOps for Actuarial Data Science” introduces students to the DevOps cycle whilst teaching students how to develop system-based solutions, starting from requirements through to release. Techniques in designing, developing, testing, iterating, deploying, and maintaining system-based solutions.

The course aims to provide the student with an understanding of how the fundamentals of DevOps would be useful in the current actuarial solution framework and the current techniques of designing, developing, testing, iterating, deploying and maintaining system-based solutions. Furthermore, we address functionalities available to ensure optimal performance of system-based solutions including applications, database integrations, interfaces, and new functionality enhancements.

This course also offers tips on how to write high-quality, high performance, maintainable code and on ensuring the quality and security of your code. Lastly, we discuss containerised microservices and the considerations for agile software development.

We will run an August workshop series to supplement the course. Workshops are offered for free with an enrollment to the course before the 27th of July. Recorded workshops will be made available, with live workshops scheduled for the following dates. Note that there will be some preparatory work required as well as your own software installation should you wish to engage with the hands-on examples.


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Fundamentals of DevOps for Actuarial Data Science

Sign up for a free preview of this introductory DevOps course

Free Preview

Preview

£200 once-off with assignment (3-month access)

Enroll Today

Course Structure

In Chapter 1, Actuaries facing the modern world, we provide an overview of the actuarial journey and introduce the tools and technologies actuaries use nowadays.

Chapter 2, Initiate first steps: planning and requirements and we discuss the typical challenges and considerations of DevOps, including coding challenges, data and model issues, and project management, deployment, and continuity issues.

Chapter 3 covers Design and Set-Up by providing an overview of Python, programming best practices, environments, and versioning.

In Chapter 4 we Develop, Test, and Wrap it Up by discussing data, modelling, and technical tests, documentation, and we showcase how to expose your work through APIs with examples in Flask, FastAPI, Streamlit, and Dash.

Chapter 5, Structure, Iterate, and Go Further, we cover Docker, deployment (with an example of AWS), continuous integration, and further XOps tasks and offer solutions for formalisation and management.
The Appendix contains a glossary and additional readings to assist you on your data science journey.

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Who's this course suitable for?

This course is suitable for those looking for an understanding of the fundamentals of DevOps including:

  • actuarial teams involved in solution design; development and maintenance
  • non-actuarial teams involved in actuarial work
  • any data scientist, close to the actuarial science field who wants to understand common actuarial approaches; and
  • any insurance, reinsurance or broker professional involved in modelling or risk management topics, that wants to improve methodologies related to AI projects

Why is this topic important?

  • Actuarial teams are becoming even more data-driven through the use of advanced modelling techniques. 
  • DevOps provides the ability to combine software development and business operations to develop optimal solutions.
  • Actuaries need to adapt to this new paradigm to keep pace, and learn the software development and IT skills required by actuarial teams.
  • This course aims to introduce the fundamentals around the concepts and important considerations in each stage of the development operations cycle, accompanied by introductory examples; in the context of actuarial work.

Short note to say really enjoyed today’s webinar. It had a very clear message. […] fully in agreement with the comments that it is imperative we maintain our professional and ethical stance at all times if we want to continue to be trusted and relied on.

Webinars

I just wanted to say what an interesting presentation that was. Thank you so much for taking the time to put this on for us, it is very much appreciated by all – especially the flexibility around hosting as a webinar instead of the original [in-person] format. It worked very well indeed!

Webinars

I think I’m [one of the first actuaries in my area] who are pointing towards Data Science, creating the new [role] of Actuarial data Scientist. For this reason i [sic] decided to follow a post graduate master in Business Intelligence and Big data analytics. I'm actively following your company and i [sic] think it is one of the best Actuarial consulting company [sic] who [sic] is pointing towards data Science!

Webinars

I love your videos - being free and accessible really helped me. The Q&A session was fantastic! It always comes down to execution and I feel this should always accompany your presentations - answering the question of how will your participants use what you give them. Keep up the great work!

Round Table

Thank you for having me along. I really found it the most motivating conversation I’ve had in a while, and made me think about what I’m trying to achieve within this area. We all need evenings like that to get some perspective on what we *think* is going on and what actually is. It was a very good evening.

Round Table

It was a really good introduction to Data Science and afterwards I felt that I now have a platform that I could use to further my understanding in this area.

Webinars

I am really happy to have been part of the talk. It was very insightful and please keep doing more of this. I am a data science student currently but I have an actuarial background. I worked in life insurance for about 5 months before resigning to do my masters in Data science so that I blend the actuarial world and Data science together. The talk gave me perspective. Even suggested some potential topics for my Thesis.

Webinars

Short note to say really enjoyed today’s webinar. It had a very clear message. […] fully in agreement with the comments that it is imperative we maintain our professional and ethical stance at all times if we want to continue to be trusted and relied on.

Webinars

I just wanted to say what an interesting presentation that was. Thank you so much for taking the time to put this on for us, it is very much appreciated by all – especially the flexibility around hosting as a webinar instead of the original [in-person] format. It worked very well indeed!

Webinars

I think I’m [one of the first actuaries in my area] who are pointing towards Data Science, creating the new [role] of Actuarial data Scientist. For this reason i [sic] decided to follow a post graduate master in Business Intelligence and Big data analytics. I'm actively following your company and i [sic] think it is one of the best Actuarial consulting company [sic] who [sic] is pointing towards data Science!

Webinars

I love your videos - being free and accessible really helped me. The Q&A session was fantastic! It always comes down to execution and I feel this should always accompany your presentations - answering the question of how will your participants use what you give them. Keep up the great work!

Round Table

Thank you for having me along. I really found it the most motivating conversation I’ve had in a while, and made me think about what I’m trying to achieve within this area. We all need evenings like that to get some perspective on what we *think* is going on and what actually is. It was a very good evening.

Round Table

It was a really good introduction to Data Science and afterwards I felt that I now have a platform that I could use to further my understanding in this area.

Webinars

I am really happy to have been part of the talk. It was very insightful and please keep doing more of this. I am a data science student currently but I have an actuarial background. I worked in life insurance for about 5 months before resigning to do my masters in Data science so that I blend the actuarial world and Data science together. The talk gave me perspective. Even suggested some potential topics for my Thesis.

Webinars
Get started

Fundamentals of DevOps for Actuarial Data Science

Sign up for a free preview of this introductory DevOps course

Free Preview

Preview

£200 once-off with assignment (3-month access)

Enroll Today

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